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    ESANN
    2004
    169views Neural Networks» more  ESANN 2004»
    Sparse LS-SVMs using additive regularization with a penalized validation criterion
    13 years 8 months ago
    Sparse LS-SVMs using additive regularization with a penalized validation criterion
    Download  www.dice.ucl.ac.be
    This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
    Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
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    EOR
    2007
    165views more  EOR 2007»
    Adaptive credit scoring with kernel learning methods
    13 years 6 months ago
    Adaptive credit scoring with kernel learning methods
    Download  www.crc.man.ed.ac.uk
    Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
    Yingxu Yang
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    PAMI
    2006
    358views more  PAMI 2006»
    Recovering 3D Human Pose from Monocular Images
    13 years 6 months ago
    Recovering 3D Human Pose from Monocular Images
    Download  lear.inrialpes.fr
    We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
    Ankur Agarwal, Bill Triggs
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    SBRN
    2008
    IEEE
    189views Neural Networks» more  SBRN 2008»
    Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing
    14 years 1 months ago
    Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing
    Download  escher.elis.ugent.be
    The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
    Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...
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    ACL
    2011
    219views Computational Linguistics» more  ACL 2011»
    Discovering Sociolinguistic Associations with Structured Sparsity
    12 years 10 months ago
    Discovering Sociolinguistic Associations with Structured Sparsity
    Download  people.csail.mit.edu
    We present a method to discover robust and interpretable sociolinguistic associations from raw geotagged text data. Using aggregate demographic statistics about the authors’ geo...
    Jacob Eisenstein, Noah A. Smith, Eric P. Xing
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